Representing the Knowledge of Public Construction Project Cost Estimator by Using Rule-Based Method

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Despite the presence of various construction project cost estimate softwares, human experienceand knowledge cannot be disregarded. This fact has been proven in practice, where the success ofconstruction cost estimate process is mainly based on knowledge of human estimator. The mainquestion concerns what human knowledge determines the success of the construction cost estimationprocess. To address this question we have applied Delphi technique and the output is elevenfactors that are enough to precisely represent construction cost estimator knowledge. Thenwe have used First Order Logic FOL to represent these factors in terms of predicates and rules.These FOL rules could be used for evaluating construction cost estimator knowledge in five classes:fail, pass, acceptable, good, and very good. As a validation process we have done experiments usinghistory data and the results have proved the accuracy of our proposed method.

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